Failed

robust.testing.t_legacy.TestLegacy.test_simple_wing (from robust.testing.t_legacy.TestLegacy-20190924153945)

Error Message

The model is infeasible

Stacktrace

Traceback (most recent call last):
  File "/jenkins/workspace/robust_PullRequest/cvxopt/robust/testing/t_legacy.py", line 42, in test_simple_wing
    nominal_number_of_constraints, directly_uncertain_vars_subs)
  File "/jenkins/workspace/robust_PullRequest/cvxopt/robust/simulations/simulate.py", line 172, in print_variable_gamma_results
    number_of_time_average_solves)
  File "/jenkins/workspace/robust_PullRequest/cvxopt/robust/simulations/simulate.py", line 89, in simulate_robust_model
    linearizationTolerance=linearization_tolerance)
  File "/jenkins/workspace/robust_PullRequest/cvxopt/robust/robust.py", line 230, in robustsolve
    self.setup(verbosity, **options)
  File "/jenkins/workspace/robust_PullRequest/cvxopt/robust/robust.py", line 202, in setup
    feasible=True)
  File "/jenkins/workspace/robust_PullRequest/cvxopt/robust/robust.py", line 416, in find_number_of_piece_wise_linearization
    raise Exception("The model is infeasible")
Exception: The model is infeasible
		

Standard Output

SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
SP is not converging! Last GP iteration had a higher cost (3e+03) than the previous one (2.7e+03). Results for each iteration are in (Model).program.results. If your model contains SignomialEqualities, note that convergence is not guaranteed: try replacing any SigEqs you can and solving again.
	

Standard Error